Image segmentation is a critical and important step in (GEographic) Object-Based Image
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …

We present an overview of various edge and line oriented approaches to contour detection
that have been proposed in the last two decades. By edge and line oriented we mean …

In this work, we consider the evaluation of the semantic segmentation task. We discuss the
strengths and limitations of the few existing measures, and propose new ways to evaluate …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled
Machine Vision) clearly and systematically presents the basic methodology of computer and …

There is a growing demand for image processing in a wide range of applications such as
photography, robotics, television, remote sensing, industrial inspection, and medical …

This paper surveys the field of nonphotorealistic rendering (NPR), focusing on techniques
for transforming 2D input (images and video) into artistically stylized renderings. We first …

We propose a biologically motivated method, called nonclassical receptive field (non-CRF)
inhibition (more generally, surround inhibition or suppression), to improve contour detection …

Good information design depends on clarifying the meaningful structure in an image. We
describe a computational approach to stylizing and abstracting photographs that explicitly …

Motivated by the goals of improving detection of low-contrast and narrow vessels and
eliminating false detections at nonvascular structures, a new technique is presented for …